The DOI matches its Crossref record; 19 of the 19 references it cites were found in a registry or an index.
Product lifecycle management: the new paradigm for enterprises
Abstract
Product Lifecycle Management (PLM) is a developing paradigm. One way to develop an understanding of PLM's characteristic and boundaries is to propose models that help us conceptualise both holistic and component views in compact packages. Models can give us both a rich way of thinking about overall concepts and can identify areas where we need to explore issues that such models raise. In this paper, the author proposes and discusses two such related models, the Product Lifecycle Management Model (PLM Model) and the Mirrored Spaces Model (MSM) and investigates the conceptual and technical issues raised by these models.
Overview
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
In the citing paper
“In 2002, Michael Grieves, a professor at the University of Michigan, provided a conceptual description by introducing a three-component model related to Product Lifecycle Management (PLM) systems for manufacturing and was initially referred to as the”
From Digital Twins in the IIoT: Current Practices and Future Directions Toward Industry 5.0 (2025) · cites this paper as [12]
Citations
Cites
A Mathematical Theory of Communication
Shannon, C. E. (1948) · Bell System Technical Journal · doi:10.1002/j.1538-7305.1948.tb01338.x · Cited by 88,486
A Mathematical Theory of Communication
Shannon, C. E. (1948) · The MIT Press eBooks · doi:10.1002/j.1538-7305.1948.tb00917.x · Cited by 50,387
Lakoff, G. P., & Johnson, M. L. (2003) · University of Chicago Press eBooks · doi:10.7208/chicago/9780226470993.001.0001 · Cited by 25,466
(1984) · Cited by 21,166
The Interpretation of Cultures
Dadze-Arthur, A. F. (2017) · Macat Library eBooks · doi:10.4324/9781912128310 · Cited by 16,510
The Mathematical Theory of Communication
Shannon, C. E., Weaver, W., & Wiener, N. (1950) · Physics Today · doi:10.1063/1.3067010 · Cited by 9,882
Philosophy in the flesh: the embodied mind and its challenge to Western thought
VEREZA, S. C. (1999) · Choice Reviews Online · doi:10.5860/choice.37-0239 · Cited by 9,849
Pandora's Hope: Essays on the Reality of Science Studies
Casper, M. J., & Latour, B. (2000) · Contemporary Sociology A Journal of Reviews · doi:10.2307/2655272 · Cited by 5,022
Theory Construction as Disciplined Imagination
Weick, K. E. (1989) · Academy of Management Review · doi:10.5465/amr.1989.4308376 · Cited by 2,222
That's Interesting!: Towards a Phenomenology of Sociology and a Sociology of Phenomenology
Davis, M. S. (1971) · Philosophy of the Social Sciences · doi:10.1177/004839317100100211 · Cited by 1,219
Flagged first, then by citations
Cited by
Sorted by citations
Items 101–200 of 741
When is a simulation a digital twin? A systematic literature review
Wooley, A., Silva, D. F., & Bitencourt, J. (2023) · Manufacturing Letters · doi:10.1016/j.mfglet.2023.08.014 · Cited by 67
Background and Concept of Digital Twin
Tao, F., Zhang, M., & Nee, A. Y. C. (2019) · Elsevier eBooks · doi:10.1016/b978-0-12-817630-6.00001-1 · Cited by 57
Digital twins for Industry 4.0 in the 6G era
Han, B., Habibi, M. A., Richerzhagen, B., Schindhelm, K., Zeiger, F., Lamberti, F., Pratticò, F. G., Upadhya, K., Korovesis, C., Belikaidis, I.-P., et al. (2023) · IEEE Open Journal of Vehicular Technology · doi:10.1109/ojvt.2023.3325382 · Cited by 54
Developing and leveraging digital twins in engineering design
Anwer, N., Stark, R., Tao, F., & Erkoyuncu, J. A. (2025) · CIRP Annals · doi:10.1016/j.cirp.2025.05.002 · Cited by 58
Exploring digital twin systems in mining operations: A review
Nobahar, P., Xu, C., Dowd, P. A., & Faradonbeh, R. S. (2024) · Green and Smart Mining Engineering · doi:10.1016/j.gsme.2024.09.003 · Cited by 75
A digital twin of a local energy system based on real smart meter data
Bayer, D., & Pruckner, M. (2023) · Energy Informatics · doi:10.1186/s42162-023-00263-6 · Cited by 53
Symeonaki, E. G., Maraveas, C., & Arvanitis, K. G. (2024) · Applied Sciences · doi:10.3390/app14020686 · Cited by 57
Current status of digital twin architecture and application in nuclear energy field
Mengyan, H., Xueyan, Z., Cuiting, P., Zhang, Y., & Jun, Y. (2024) · Annals of Nuclear Energy · doi:10.1016/j.anucene.2024.110491 · Cited by 53
Guo, Z., Tang, F., Luo, L., Zhao, M., & Kato, N. (2025) · IEEE Communications Surveys & Tutorials · doi:10.1109/comst.2025.3568637 · Cited by 52
Hu, W., He, Y., Liu, Z., Tan, J., Yang, M. Y., & Chen, J.-C. (2020) · Journal of Mechanical Design · doi:10.1115/1.4048414 · Cited by 52
An Approach to Develop Digital Twins in Industry
González-Herbón, R., González-Mateos, G., Ossorio, J. R. R., Domínguez, M., Alonso, S., & Fuertes, J. J. (2024) · Sensors · doi:10.3390/s24030998 · Cited by 55
Major opportunities of digital twins for smart buildings: a scientometric and content analysis
Ghansah, F. A., & Lu, W. (2023) · Smart and Sustainable Built Environment · doi:10.1108/sasbe-09-2022-0192 · Cited by 53
Probabilistic machine learning based predictive and interpretable digital twin for dynamical systems
Tripura, T., Desai, A. S., Adhikari, S., & Chakraborty, S. (2023) · Computers & Structures · doi:10.1016/j.compstruc.2023.107008 · Cited by 47
Abanda, F. H., Jian, N., Adukpo, S. E., Tuhaise, V. V., & Manjia, M. B. (2024) · Journal of Intelligent Manufacturing · doi:10.1007/s10845-023-02301-2 · Cited by 52
Wang, Y., Yue, Q., Lu, X., Gu, D., Xu, Z., Tian, Y., & Zhang, S. (2024) · Resilient Cities and Structures · doi:10.1016/j.rcns.2024.06.002 · Cited by 52
Holler, M., Uebernickel, F., & Brenner, W. (2016) · Alexandria (UniSG) (University of St.Gallen) · Cited by 47
The ontology-based modeling and evolution of digital twin for assembly workshop
Bao, Q., Zhao, G. L., Yu, Y., Dai, S. L., & Wang, W. (2021) · The International Journal of Advanced Manufacturing Technology · doi:10.1007/s00170-021-07773-1 · Cited by 49
Digital Twin Smart Water Conservancy: Status, Challenges, and Prospects
Li, W., Ma, Z., Li, J., Li, Q., Li, Y., & Yang, J. (2024) · Water · doi:10.3390/w16142038 · Cited by 49
Digital twins and their use in future power systems
Pálenský, P., Cvetković, M., Gusain, D., & Joseph, A. (2021) · Digital Twin · doi:10.12688/digitaltwin.17435.1 · Cited by 128
Leveraging Digital Twins for Assisted Learning of Flexible Manufacturing Systems
David, J., Lobov, A., & Lanz, M. (2018) · 2018 IEEE 16th International Conference on Industrial Informatics (INDIN) · doi:10.1109/indin.2018.8472083 · Cited by 43
Measurement Informed Models and Digital Twins for Optical Fiber Communication Systems
Faruk, M. S., & Savory, S. J. (2023) · Journal of Lightwave Technology · doi:10.1109/jlt.2023.3328765 · Cited by 46
Listl, F. G., Dittler, D., Hildebrandt, G., Stegmaier, V., Jazdi, N., & Weyrich, M. (2024) · IEEE Access · doi:10.1109/access.2024.3514923 · Cited by 49
Pfitzner, F., Braun, A., & Borrmann, A. (2024) · Automation in Construction · doi:10.1016/j.autcon.2024.105451 · Cited by 42
Applications and challenges of digital twin intelligent sensing technologies for asphalt pavements
Wang, X., Zhang, Y., Li, H., Wang, C., & Feng, P. (2024) · Automation in Construction · doi:10.1016/j.autcon.2024.105480 · Cited by 43
Data Integration for Digital Twins in Industrial Automation: A Systematic Literature Review
Hildebrandt, G., Dittler, D., Habiger, P., Drath, R., & Weyrich, M. (2024) · IEEE Access · doi:10.1109/access.2024.3465632 · Cited by 44
Implementation of Digital Twin-based Virtual Commissioning in Machine Tool Manufacturing
Ugarte, M., Etxeberria, L., Unamuno, G., Bellanco, J. L., & Ugalde, E. (2022) · Procedia Computer Science · doi:10.1016/j.procs.2022.01.250 · Cited by 43
Digital twin‐assisted fault diagnosis system for robot joints with insufficient data
Song, Z., Shi, H., Bai, X., & Li, G. (2023) · Journal of Field Robotics · doi:10.1002/rob.22127 · Cited by 42
Digital Twin-Based Analysis and Optimization for Design and Planning of Production Lines
Lee, D., Kim, C.-K., Yang, J., Cho, K.-Y., Choi, J.-H., Noh, S. D., & Nam, S. (2022) · Machines · doi:10.3390/machines10121147 · Cited by 41
Construction and application of smart factory digital twin system based on DTME
Xia, L., Lu, J., Zhang, H., Xu, M., & Li, Z. (2022) · The International Journal of Advanced Manufacturing Technology · doi:10.1007/s00170-022-08971-1 · Cited by 40
Predictive digital twins for autonomous surface vessels
Hasan, A., Widyotriatmo, A., Fagerhaug, E., & Osen, O. L. (2023) · Ocean Engineering · doi:10.1016/j.oceaneng.2023.116046 · Cited by 37
Co-evolutionary digital twins: A multidimensional dynamic approach to digital engineering
Tong, X., Bao, J., & Tao, F. (2024) · Advanced Engineering Informatics · doi:10.1016/j.aei.2024.102554 · Cited by 37
The pluralism of digital twins for urban management: Bridging theory and practice
Elsehrawy, R., Kumar, B., & Watson, R. (2023) · Journal of Urban Management · doi:10.1016/j.jum.2023.01.002 · Cited by 37
Revisiting digital twins: Origins, fundamentals, and practices
Zhou, J., Zhang, S., & Gu, M. (2022) · Frontiers of Engineering Management · doi:10.1007/s42524-022-0216-2 · Cited by 37
Krenczyk, D., & Paprocka, I. (2023) · Materials · doi:10.3390/ma16062339 · Cited by 32
Digital Twin-Driven Thermal Error Prediction for CNC Machine Tool Spindle
Lu, Q., Zhu, D., Wang, M., & Mei, L. (2023) · Lubricants · doi:10.3390/lubricants11050219 · Cited by 36
Model-driven engineering for digital twins: a systematic mapping study
Lehner, D., Zhang, J., Pfeiffer, J., Sint, S., Splettstößer, A.-K., Wimmer, M., & Wortmann, A. (2025) · Software & Systems Modeling · doi:10.1007/s10270-025-01264-7 · Cited by 36
Digital Twin as a Decision Support Tool for Airport Traffic Control
Saifutdinov, F., Jackson, I., Tolujevs, J., & Zmanovska, T. (2020) · International Scientific Conference Information Technology and Management Science Riga Technical University · doi:10.1109/itms51158.2020.9259294 · Cited by 23
Digital twin in hydrocarbon industry
Sircar, A., Nair, A., Bist, N., & Yadav, K. (2022) · Petroleum Research · doi:10.1016/j.ptlrs.2022.04.001 · Cited by 38
A Review on Recent Trends and Applications of IoT in Additive Manufacturing
Chigilipalli, B. K., Karri, T., Chetti, S. N., Bhiogade, G., Kottala, R. K., & Cheepu, M. (2023) · Applied System Innovation · doi:10.3390/asi6020050 · Cited by 37
Control Strategies for Digital Twin Systems
Liu, G. P. (2024) · IEEE/CAA Journal of Automatica Sinica · doi:10.1109/jas.2023.123834 · Cited by 35
Innovative AI strategies for enhancing smart building operations through digital twins: A survey
Oulefki, A., Kheddar, H., Amira, A., Kurugöllü, F., Himeur, Y., & Bounceur, A. (2025) · Energy and Buildings · doi:10.1016/j.enbuild.2025.115567 · Cited by 34
Guan, H., Ren, Y. H., Tang, H., & Xiang, J. (2024) · Measurement Science and Technology · doi:10.1088/1361-6501/ad437e · Cited by 34
Digital twins in aircraft production and MRO: challenges and opportunities
Moenck, K., Rath, J.-E., Koch, J., Wendt, A., Kalscheuer, F., Schüppstuhl, T., & Schoepflin, D. (2024) · CEAS Aeronautical Journal · doi:10.1007/s13272-024-00740-y · Cited by 39
Nadhan, D., Mayani, M. G., & Rommetveit, R. (2018) · IADC/SPE Asia Pacific Drilling Technology Conference and Exhibition · doi:10.2118/191388-ms · Cited by 32
Evolutionary digital twin model with an agent-based discrete-event simulation method
Qiu, H., Chen, Y., Zhang, H., Yi, W., & Li, Y. (2022) · Applied Intelligence · doi:10.1007/s10489-022-03507-2 · Cited by 32
Udugama, I. A., Bayer, C., Baroutian, S., Gernaey, K., Yu, W., & Young, B. (2022) · Education for Chemical Engineers · doi:10.1016/j.ece.2022.03.003 · Cited by 28
A comparative study on digital twin models
Liu, Q., Liu, B., Wang, G., & Zhang, C. (2019) · AIP conference proceedings · doi:10.1063/1.5090745 · Cited by 41
Fortin, C., & Huet, G. (2007) · International Journal of Product Development · doi:10.1504/ijpd.2007.012496 · Cited by 31
Digital Twin-Driven Remaining Useful Life Prediction for Rolling Element Bearing
Lu, Q., & Li, M. (2023) · Machines · doi:10.3390/machines11070678 · Cited by 30
Zhang, C., Zhou, G., Ma, D., Wang, Z., & Zou, Y. (2024) · Advanced Engineering Informatics · doi:10.1016/j.aei.2024.102390 · Cited by 30
On future power system digital twins: A vision towards a standard architecture
Zomerdijk, W., Pálenský, P., AlSkaif, T. A., & Vergara, P. P. (2024) · Digital twins and applications. · doi:10.1049/dgt2.12020 · Cited by 35
Guo, F., Liu, J., Zou, F., Yunong, Z., Zhongqi, W., & Shaozhuo, L. (2019) · Journal of Mechanical Engineering · doi:10.3901/jme.2019.17.110 · Cited by 30
Bäcklund, K., Lundqvist, P., & Molinari, M. (2024) · Frontiers in Built Environment · doi:10.3389/fbuil.2024.1347451 · Cited by 36
Review and perspectives of digital twin systems for wildland fire management
Li, Y., Zhang, T., Ding, Y., Wadhwani, R., & Huang, X. (2024) · Journal of Forestry Research · doi:10.1007/s11676-024-01810-x · Cited by 39
Geiger, R., Hannan, Y. A., Travia, W., Naboni, R., & Schlette, C. (2020) · IOP Conference Series Materials Science and Engineering · doi:10.1088/1757-899x/942/1/012016 · Cited by 29
Case study for design optimization using the digital twin approach
Bellalouna, F. (2021) · Procedia CIRP · doi:10.1016/j.procir.2021.05.129 · Cited by 29
A multi-agent and internet of things framework of digital twin for optimized manufacturing control
Nie, Q., Tang, D., Zhu, H., & Sun, H. (2021) · International Journal of Computer Integrated Manufacturing · doi:10.1080/0951192x.2021.2004619 · Cited by 35
Advances in artificial intelligence and digital twin for tunnel boring machines
Liu, G., Tang, Y., Zhang, H., Li, R., Wang, H., Liu, B., Zhang, S., Zhu, H., Liu, D., & Ma, S. (2025) · Artificial Intelligence Review · doi:10.1007/s10462-025-11261-3 · Cited by 33
Li, H., Li, B., Liu, G., Wen, X., Wang, H., Wang, X., Zhang, S., Zhai, Z., & Yang, W. (2022) · Scientific Reports · doi:10.1038/s41598-022-11440-0 · Cited by 29
Vibration monitoring and analysis of strip rolling mill based on the digital twin model
Zhang, Y., Wang, W., Zhang, H., Li, H., Liu, C., & Xiao-zhong, D. (2022) · The International Journal of Advanced Manufacturing Technology · doi:10.1007/s00170-022-10098-2 · Cited by 28
Massafra, A., Costantino, C., Predari, G., & Gulli, R. (2023) · Sustainability · doi:10.3390/su151411240 · Cited by 28
Saren, Q., Zhang, Z., Xiong, J., Chen, X. D., Zhu, D., Wu, W., Jin, X., & Shang, K. (2023) · Journal of Intelligent Manufacturing · doi:10.1007/s10845-023-02169-2 · Cited by 28
Digital twin and its applications in the construction industry: A state-of-art systematic review
Su, S., Zhong, R. Y., & Jiang, Y. (2024) · Digital Twin · doi:10.12688/digitaltwin.17664.3 · Cited by 29
Challenges in Automated Commercial Aircraft Production
Gehlhoff, F., Nabizada, H., Weigand, M., Beers, L., Ismail, O., Wenzel, A., Fay, A., Nyhuis, P., Lagutin, W., & Röhrig, M. (2022) · IFAC-PapersOnLine · doi:10.1016/j.ifacol.2022.04.219 · Cited by 26
Intelligent Retrofitting Paradigm for Conventional Machines towards the Digital Triplet Hierarchy
Alimam, H., Mazzuto, G., Ortenzi, M., Ciarapica, F., & Bevilacqua, M. (2023) · Sustainability · doi:10.3390/su15021441 · Cited by 21
Digital twin concept: Healthcare, education, research
Peshkova, M. A., Alekseevna, Y. V., Rudenko, E., Kretova, N. V., Timashev, P. S., & Демура, Т. А. (2023) · Journal of Pathology Informatics · doi:10.1016/j.jpi.2023.100313 · Cited by 26
Human Digital Twin: A SurveyPreprint
Lin, Y., Chen, L., Ali, A., Nugent, C., Cleland, I., Li, R., Gao, D., Wang, H., Wang, Y., & Ning, H. (2022) · Research Square · doi:10.21203/rs.3.rs-2369073/v1 · Cited by 27
Implementation of digital twin-enabled virtually monitored data in inspection planning
Li, S., & Brennan, F. (2024) · Applied Ocean Research · doi:10.1016/j.apor.2024.103903 · Cited by 24
Guo, Y., Liu, L., Huang, W., Shen, M., Yi, X., Zhang, J., & Lu, S. (2024) · Heritage Science · doi:10.1186/s40494-024-01363-6 · Cited by 34
Zhang, H., Li, Y., Xue, D., Tong, X. Y., Gao, B., & Yu, J. (2024) · Advanced Engineering Informatics · doi:10.1016/j.aei.2024.102790 · Cited by 25
An Architecture Based on Digital Twins for Smart Power Distribution System
Zhang, G., Huo, C., Zheng, L., & Li, X. (2020) · International Conference on Artificial Intelligence and Big Data (ICAIBD) · doi:10.1109/icaibd49809.2020.9137461 · Cited by 25
Trancossi, M., Cannistraro, G., & Pascoa, J. C. (2020) · Thermal Science and Engineering Progress · doi:10.1016/j.tsep.2020.100509 · Cited by 25
Tangible digital twin with shared visualization for collaborative air traffic management operations
Chen, K., Nadirsha, T. N. M., Lilith, N., Alam, S., & Svensson, Å. (2024) · Transportation Research Part C: Emerging Technologies · doi:10.1016/j.trc.2024.104546 · Cited by 24
Development of self-adaptive digital twin for battery monitoring and management system
Fu, K., Hamacher, T., & Perić, V. S. (2024) · Electric Power Systems Research · doi:10.1016/j.epsr.2024.110698 · Cited by 24
Maksimović, M., Jokić, S., & Boskovic, M. C. (2025) · Process Integration and Optimization for Sustainability · doi:10.1007/s41660-024-00478-4 · Cited by 26
Shi, J., Zhang, N., Wu, K., & Wang, Z. (2025) · Electronics · doi:10.3390/electronics14122463 · Cited by 26
Micro Manufacturing Unit – Creating Digital Twin Objects with Common Engineering Software
Lohtander, M., Garcia, E., Lanz, M., Volotinen, J., Ratava, J., & Kaakkunen, J. J. J. (2018) · Procedia Manufacturing · doi:10.1016/j.promfg.2018.10.071 · Cited by 24
Optimizing Drilling Wells and Increasing the Operation Efficiency Using Digital Twin Technology
Mayani, M. G., Baybolov, T., Rommetveit, R., Ødegaard, S. I., Koryabkin, V., & Lakhtionov, S. V. (2020) · SPE/IADC Drilling Conference · doi:10.2118/199566-ms · Cited by 24
Lee, J., & Yoon, S. (2024) · Energy and Buildings · doi:10.1016/j.enbuild.2024.115039 · Cited by 24
Digital twins in manufacturing: A unified conceptual framework
Villegas, L. F., Macchi, M., & Polenghi, A. (2025) · Annual Reviews in Control · doi:10.1016/j.arcontrol.2025.101031 · Cited by 28
Digital Twin Technology for Integrated Energy System and Its Application
Li, H., Zhang, T., & Huang, Y. J. (2021) · IEEE International Conference on Digital Twins and Parallel Intelligence (DTPI) · doi:10.1109/dtpi52967.2021.9540160 · Cited by 23
A digital twin-based motion forecasting framework for preemptive risk monitoring
Jiao, Y., Zhai, X., Peng, L., Liu, J., Liang, Y., & Yin, Z. (2023) · Advanced Engineering Informatics · doi:10.1016/j.aei.2023.102250 · Cited by 23
Virtual commissioning and process parameter optimization of rolling mill based on digital twin
Hu, Y., Zhang, Y., Ma, X., Du, X., Wang, W., & Zhang, H. (2023) · The International Journal of Advanced Manufacturing Technology · doi:10.1007/s00170-023-12718-x · Cited by 23
Grieves, M. W., & Tanniru, M. R. (2008) · International Journal of Product Lifecycle Management · doi:10.1504/ijplm.2008.019969 · Cited by 23
Self-citationDigital Twins in the IIoT: Current Practices and Future Directions Toward Industry 5.0
Mon, B. F., Hayajneh, M., Ali, N. A., Ullah, F., Ullah, H., & Alkobaisi, S. (2025) · Computers, Materials & Continua · doi:10.32604/cmc.2025.061411 · Cited by 26
“In 2002, Michael Grieves, a professor at the University of Michigan, provided a conceptual description by introducing a three-component model related to Product Lifecycle Management (PLM) systems for manufacturing and was initially referred to as the “Mirrored Spaces Model” [12].”
Autonomous control of heat pipes through digital twins: Application to fission batteries
Wilsdon, K. N., Hansel, J., Kunz, M. R., & Browning, J. M. (2023) · Progress in Nuclear Energy · doi:10.1016/j.pnucene.2023.104813 · Cited by 21
Towards the Implementation and Integration of a Digital Twin in a Discrete Manufacturing Context
Lanzini, M., Ferretti, I., & Zanoni, S. (2024) · Processes · doi:10.3390/pr12112384 · Cited by 22
Digital Twins Use in Plastic Surgery: A Systematic Review
Seth, I., Lim, B., Lu, P. Y. J., Xie, Y., Cuomo, R., Ng, S., Rozen, W. M., & Sofiadellis, F. (2024) · Journal of Clinical Medicine · doi:10.3390/jcm13247861 · Cited by 24
Xu, Q., Lei, Z., Gu, S., Wen, G., Su, Y., Zhang, Z., Huang, J., & Qin, R. (2025) · Journal of Advanced Research · doi:10.1016/j.jare.2025.02.029 · Cited by 22
Zhang, X., Han, D., Zhang, X., & Fang, L.-H. (2023) · Applied Sciences · doi:10.3390/app13031923 · Cited by 24
Digital Twins Development Architectures and Deployment Technologies: Moroccan use Case
Ghita, M., Benhadou, S., & Medromi, H. (2020) · International Journal of Advanced Computer Science and Applications · doi:10.14569/ijacsa.2020.0110260 · Cited by 22
Zhu, X., & Ji, Y. (2023) · Journal of Manufacturing Processes · doi:10.1016/j.jmapro.2023.07.061 · Cited by 21
Wu, B., Wei, Q., Li, X., Kou, Y.-F., Lu, W., Ge, H., & Guo, X.-Z. (2024) · Ocean Engineering · doi:10.1016/j.oceaneng.2024.117273 · Cited by 20
Seeking a Definition of Digital Twins for Construction and Infrastructure Management
Aragón, A., Arquier, M., Tokdemir, O. B., Enfedaque, A., Alberti, M. G., Lieval, F., Loscos, E., Pavón, R. M., Novischi, D., Legazpi, P. V., et al. (2025) · Applied Sciences · doi:10.3390/app15031557 · Cited by 24
Lu, Q., Huang, X., Wu, G., Shen, X., & Zhu, D. (2025) · Engineering Research Express · doi:10.1088/2631-8695/adc076 · Cited by 21
The Role of Digital Twins in Collaborative Cyber-Physical Systems
Nazarenko, A., & Camarinha-Matos, L. (2020) · Doctoral Conference on Computing, Electrical and Industrial Systems · doi:10.1007/978-3-030-45124-0_18 · Cited by 21
Unifying Digital Twin Framework: Simulation-Based Proof-of-Concept
Traoré, M. (2021) · IFAC-PapersOnLine · doi:10.1016/j.ifacol.2021.08.105 · Cited by 15
Construction and Application of Digital Twin Model of Hydropower Plant Based on Data-driven
Zhao, Z., Li, D., She, J., Zhang, H., Zhou, Y., & Zhao, L. (2021) · International Workshop on Artificial Intelligence and Education (WAIE) · doi:10.1109/waie54146.2021.00020 · Cited by 21
Li, Y., & Zhao, G. (2021) · International Journal of Rock Mechanics and Mining Sciences · doi:10.1016/j.ijrmms.2021.104939 · Cited by 21
The AGN-201 Digital Twin: A test bed for remotely monitoring nuclear reactors
Stewart, R. H., Treviño, E. A., Shields, A., Heaps, K., Darrington, J., Williams, Q., Pope, C. L., Scott, J., Baker, B., Palmer, J., et al. (2024) · Annals of Nuclear Energy · doi:10.1016/j.anucene.2024.111041 · Cited by 20
Metadata
- Authors
- Grieves, M. W.
- Corresponding author
- Grieves, Michael W.
- ORCID
- Grieves, Michael W.
- Venue
- International Journal of Product Development
- Publisher
- Inderscience Publishers
- Published
- 2005
- Volume
- 2
- Issue
- 1/2
- Pages
- 71
- ISSN
- 1477-9056 (ISSN-L)
- 1741-8178
- OpenAlex
- W2047355416
- Cited by
- 741
- References
- 19
- Citations by year
- 2026: 96 · 2025: 140 · 2024: 147 · 2023: 132 · 2022: 73 · 2021: 77 · 2020: 43 · 2019: 12 · 2018: 8 · 2017: 1 · 2016: 2 · 2012: 2
- FWCI
- 2.81
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- International Journal of Product Development (publishedVersion)
- RePEc: Research Papers in Economics (submittedVersion)
- Topics
- Social Sciences › Business, Management and Accounting › Management of Technology and Innovation › Product Development and Customization
- Social Sciences › Business, Management and Accounting › Management Information Systems › ERP Systems Implementation and Impact
- Physical Sciences › Engineering › Control and Systems Engineering › Systems Engineering Methodologies and Applications
- Keywords
- product lifecycle management, conceptual model, product development
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review